Identifying Data 2024/25
Subject (*) Emerging Manufacturing Technologies Workshop Code 730556022
Study programme
Máster Universitario en Informática Industrial e Robótica
Descriptors Cycle Period Year Type Credits
Official Master's Degree 2nd four-month period
 First Optional 3
Language
Spanish
Teaching method Face-to-face
Prerequisites
Department Enxeñaría Naval e Industrial
Coordinador
Ramil Rego, Alberto
 E-mail
alberto.ramil@udc.es
Lecturers
Lopez Diaz, Ana Jesus
Ramil Rego, Alberto
 E-mail
ana.xesus.lopez@udc.es
alberto.ramil@udc.es
Web
General description Introdución ao entorno de programación dun sistema robótico industrial: linguaxes, simulación e funcionamento. Características da súa configuración e movemento. Aplicación a un sistema de fabricación aditiva por láser mediante deposición directa de enerxía (láser DED)

Competencies / Study results
Code Study programme competences / results
A9 COMP09 - Planificar y coordinar tareas en equipos interdisciplinares o transdisciplinares ofreciendo propuestas que contribuyan a la eficacia del trabajo colaborativo.
A26 CON08 - Identificar las estructuras mecánicas básicas y avanzadas con las que se construyen las distintas morfologías robóticas, así como las claves y parámetros de su comportamiento, y los modelos cinemáticos y dinámicos de robots.
A74 OPT-CON15 - Identificar as tecnoloxías emerxentes de fabricación, así como as aplicacións da robótica sobre elas.
A92 OPT-HAB15 - Aplicar as tecnoloxías emerxentes de fabricación.

Learning aims
Learning outcomes Study programme competences / results
Saber identificar y usar tecnologías emergentes de fabricación AR74
Saber implementar aplicaciones de la informatica industrial a las tecnologias de fabricación AR9
AR92
Saber implementar aplicaciones de robótica las tecnologias emergentes de fabricación AR26
AR74
AR92

Contents
Topic Sub-topic
Identify and use emerging manufacturing technologies -Laser material processing
-Processing systems
- DED Additive manufacturing (by laser directed energy deposition)
Implementation of industrial computing applications and robotics to emerging manufacturing technologies Programming of industrial robots for manufacturing
-Axis positioning systems
-Robotic arms

Planning
Methodologies / tests Competencies / Results Teaching hours (in-person & virtual) Student’s personal work hours Total hours
Guest lecture / keynote speech A26 A74 9 9 18
Laboratory practice A9 A92 9 18 27
Supervised projects A9 A92 1 27 28
 
Personalized attention 2 0 2
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies Description
Guest lecture / keynote speech Keynote sessions on subject contents
Laboratory practice Offline / online programming practices using tools and programming environments of a system with an industrial robotic arm used in manufacturing technologies
Supervised projects Work based on the development and implementation of the suitable programming precedures for a manufacturing process example.

Personalized attention
Methodologies
Supervised projects
Laboratory practice
Description
The activity with the laboratory equipment and the work development will be carried out with the help and supervision of the personnel of the research teams.

Assessment
Methodologies Competencies / Results Description Qualification
Supervised projects A9 A92 Aspects such as the scope and complexity of the work will be taken into account, as well as its originality. 70
Laboratory practice A9 A92 Attendance to 80% of the sessions is necessary 30
 
Assessment comments
<p>Partial-time students will be evaluated in the same terms as&nbsp; those of full-time students.</p><p>Evaluation criteria in second opportunity will be the same as in first oportunity.</p><p>There is not academic exemption for class attendance in this subject</p>

Sources of information
Basic Olaf Diegel, Axel Nordin, Damien Motte (2019). A Practical guide to design for additive manufacturing / . Singapur, Springer
Gebhardt, Andreas (2016). Additive manufacturing : 3D printing for prototyping and manufacturing. Munich ; Hanser Publishers
Miranda Colorado, Roger (2016). Cinemática y dinámica de robots manipuladores. [Barcelona] : Marcombo
Brandt, Milan. (2016). Laser Additive Manufacturing : Materials, Design, Technologies, and Applications.. Kent : Elsevier Science,
Toyserkani, Ehsan. (2005). Laser cladding. Boca Raton : CRC Press
John J. Craig. (2006). Robótica. México : Prentice Hall,
Ollero Baturone, Aníbal. (2001). Robótica manipuladores y robots móviles.. Barcelona] : Marcombo

Complementary


Recommendations
Subjects that it is recommended to have taken before

Subjects that are recommended to be taken simultaneously

Subjects that continue the syllabus

Other comments
&lt;p&gt;1. The delivery of the documentary works for this subject:&amp;nbsp;&lt;/p&gt;&lt;p&gt;1.1. Will be requested in virtual format and / or computer support.&amp;nbsp;&lt;/p&gt;&lt;p&gt;1.2. Will be done through Moodle, in digital format avoiding the need of printing.&lt;/p&gt;&lt;p&gt;1.3. If made on paper:&amp;nbsp;&lt;/p&gt;&lt;p&gt;-Do not use plastics.&amp;nbsp;&lt;/p&gt;&lt;p&gt;-Double sided printing will be made.&lt;/p&gt;&lt;p&gt;&amp;nbsp;-Recycled paper will be used.&amp;nbsp;&lt;/p&gt;&lt;p&gt;-The printing of drafts will be avoided.&lt;/p&gt;&lt;p&gt;2. Sustainable use of resources and prevention of harm to the natural environment must be observed.&lt;/p&gt;


(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.